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AI-Powered Calling platform for Qualifying Sales & Appointment Setter
Callcom is an AI-powered voice agent platform that performs human-like sales, customer support, inbound or outbond calls and follow-ups. Its core strength is generating voice interactions that replicate the user’s tone. You can also clone your voice. It ensuring natural and personalized conversations. Using advanced text-to-speech and voice synthesis. Callcom integrates seamlessly into workflows, helping businesses automate voice interactions without losing empathy, tone or brand consistency.
Features of the platform: AI Calling & Conversation Automation, Campaign management, Agent & Voice Control, Prospect management, Meeting & Appointment Tracking and Integrate with Third-party.
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Did a motion for the Cockpit concept ⁕ 🔈 ON
Design & Creative Direction: Me
Motion & Sound: Claude Code
Cockpit is an AI agent management platform concept that helps teams:
- Set boundaries
- Monitor activity
- Manage approvals
- Track knowledge sources
- Measure performance and costs
It brings together five key AI UX challenges:
👉 Autonomy
👉 Observability
👉 Human Approvals
👉 Context
👉 Analytics
The idea is simple:
As AI agents become more capable, the experiences we design around them need to make their actions more transparent, predictable, and manageable.
Thanks!
Human approvals is the part most agent UIs skip. Good call making it one of the five challenges.
AI-Powered Physiotherapy Clinic Dashboard | Smart Appointment Scheduling
A modern AI-powered dashboard concept designed for physiotherapy clinics to simplify appointment scheduling, therapist management, and daily operations. The interface focuses on improving workflow efficiency with an intuitive calendar, smart booking experience, patient scheduling, and a clean visual system.
The design features an elegant and minimal UI, helping healthcare professionals manage appointments, therapists, and patient availability with ease. Every screen is crafted to deliver a fast, accessible, and user-friendly experience while maintaining a premium SaaS aesthetic.
so nice work
Designed an AI research workspace where the agent plans the work and fills a sheet with cited sources as it goes.
Same screen, two modes. Which one would you work in all day? 👀
13 voted
72%
5 voted
28%
18 votes
Closed
Keeping the research plan and cited results side by side is a useful way to make the agent’s work easier to inspect. I’d lean toward light mode for reading the table in daylight. How do you distinguish a verified source from one that still needs review?